chess-try
Chess model submitted to the LLM Course Chess Challenge.
Submission Info
- Submitted by: MaximeMuhlethaler
- Parameters: 924,000
- Organization: LLM-course
- Architecture: Custom Chess Transformer (Regex Tokenizer + EOS Protection)
Model Details
- Vocab size: 1200
- Layers: 6
- Heads: 8
- Downloads last month
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# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LLM-course/chess-try", trust_remote_code=True, dtype="auto")